Ennodia
MCP server for multi-agent review with Compare and traceable receipts No single model or agent should be the only reviewer for work that matters.…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 100 of 236
MCP server for multi-agent review with Compare and traceable receipts No single model or agent should be the only reviewer for work that matters.…
Official Mureka Model Context Protocol (MCP) server that lets MCP clients like Claude Desktop and OpenAI Agents generate lyrics, songs, and…
# Sentinel Monitoring MCP Server Uptime, SSL, DNS and domain monitoring you can talk to: check, create and manage monitors for all your client…
Awsome-kali-MCPServers is a collection of Model Context Protocol (MCP) servers designed for Kali Linux environments.
Anonymous US mortgage rate estimates, lender rankings from federal HMDA data, property hazard context, and U.S. Treasury market data.
Create images and videos with Seedance, Veo, Kling, Nano Banana and more from your agent. Tevyon writes the prompt and shows the price before…
A Model Context Protocol (MCP) server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through…
VisionCraft MCP Server is a Model Context Protocol (MCP) server that provides up-to-date, specialized computer vision and Gen-AI knowledge directly…
MiniMax MCP JS is a JavaScript/TypeScript implementation of the Model Context Protocol (MCP) server that provides image generation, video generation…
# iTechSmart MCP Server **Connect any AI agent to UAIO — Autonomous IT Operations + ProofLink™ Verification** > The SaaS products that become agent-ready…
ContextLattice is a private-by-default memory and context orchestration system for AI agents.
A Model Context Protocol (MCP) server that connects AI assistants to the Financial Modeling Prep API, exposing over 250 financial data tools.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.